Everything Has a Cause: Leveraging Causal Inference in Legal Text Analysis

Xiao Liu, Da Yin, Yansong Feng, Yuting Wu, Dongyan Zhao

Type: Article

Publication Date: 2021-01-01

Citations: 22

DOI: https://doi.org/10.18653/v1/2021.naacl-main.155

Abstract

Xiao Liu, Da Yin, Yansong Feng, Yuting Wu, Dongyan Zhao. Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2021.

Locations

arXiv (Cornell University) - View - PDF
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - View - PDF

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+	Statistics and Causal Inference	1986	Paul W. Holland
+	Some methods for classification and analysis of multivariate observations	1967	James B. MacQueen
+ PDF Chat	Estimating the Dimension of a Model	1978	Gideon Schwarz
+	A Hybrid Causal Search Algorithm for Latent Variable Models	2016	Juan Miguel Ogarrio Peter Spirtes Joe Ramsey
+	Causal Effect Inference with Deep Latent-Variable Models	2017	Christos Louizos Uri Shalit Joris M. Mooij David Sontag Richard S. Zemel Max Welling
+	How to Make Causal Inferences Using Texts	2018	Naoki Egami Christian Fong Justin Grimmer Margaret E. Roberts Brandon Stewart
+ PDF Chat	Joint Reasoning for Temporal and Causal Relations	2018	Qiang Ning Zhili Feng Hao Wu Dan Roth
+	CAIL2018: A Large-Scale Legal Dataset for Judgment Prediction	2018	Chaojun Xiao Haoxi Zhong Zhipeng Guo Cunchao Tu Zhiyuan Liu Maosong Sun Yansong Feng Xianpei Han Zhen Hu Heng Wang
+	Transfer Learning for Estimating Causal Effects using Neural Networks	2018	Sören R. Künzel Bradly C. Stadie Nikita Vemuri Varsha Ramakrishnan Jasjeet S. Sekhon Pieter Abbeel
+	Representation Learning for Treatment Effect Estimation from Observational Data	2018	Liuyi Yao Sheng Li Yaliang Li Mengdi Huai Jing Gao Aidong Zhang